Jen-Kai Liang, Power Wu, Su-Chiu Tseng, Oskar Ku 
International Journal for Lesson and Learning Studies
ISSN: 2046-8253

Sharing our digital learning research achievements, an academic paper published in an international journal:
Enhancing lesson study with generative AI powered TEAM Model platform

This is the world's first academic research that integrates HiTeach classroom teaching, AI Sokrates teaching behavior analysis, and generative AI in a three-in-one application. It is an international academic journal paper on promoting teacher professional lesson study. We welcome sharing, citation, and joining the TEAM Model smart education research field.

👉Link to this International Academic Journal Paper
   

Abstract

Purpose

This paper investigates the integration of generative AI into lesson study using the TEAM Model platform to enhance teacher professional development. It explores how AI supports the study, plan, teach and reflect phases by improving efficiency, fostering collaboration and enriching reflective practices.

Design/methodology/approach

This study adopts a qualitative case study design and involves six teachers, using the TEAM Model platform to facilitate lesson study cycles. Data were collected via automated observations, interviews and focus group discussions.

Findings

Generative AI enhanced lesson study by improving efficiency, supporting teachers in planning and enriching reflection and debriefing with actionable insights. However, challenges including over-reliance on AI and generic responses are identified, highlighting the need for balanced integration of generative AI tools.

Originality/value

This study examines the integration of generative AI into lesson study, focusing on its impact across all phases and its potential to address traditional challenges while fostering teacher professional development.

Keywords:

#Generative AI #Lesson study #AI #TEAM Model #Debriefing #Observation